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---
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- whisper-event
- generated_from_trainer
datasets:
- rishabhjain16/kaggle_albanian
metrics:
- wer
model-index:
- name: Whisper large V2 to Kaggle Albanian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: rishabhjain16/kaggle_albanian default
type: rishabhjain16/kaggle_albanian
metrics:
- name: Wer
type: wer
value: 25.160615568504408
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper large V2 to Kaggle Albanian
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the rishabhjain16/kaggle_albanian default dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3393
- Wer: 25.1606
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3422 | 0.1 | 500 | 0.5929 | 44.6536 |
| 0.4805 | 0.2 | 1000 | 0.4738 | 37.5890 |
| 0.3886 | 0.3 | 1500 | 0.4295 | 34.2173 |
| 0.3929 | 0.4 | 2000 | 0.3847 | 30.9552 |
| 0.2195 | 1.09 | 2500 | 0.3645 | 28.2136 |
| 0.1844 | 1.19 | 3000 | 0.3627 | 27.7056 |
| 0.1873 | 1.29 | 3500 | 0.3520 | 27.1403 |
| 0.1695 | 1.39 | 4000 | 0.3335 | 26.1816 |
| 0.089 | 2.08 | 4500 | 0.3623 | 26.1094 |
| 0.072 | 2.18 | 5000 | 0.3393 | 25.1606 |
### Framework versions
- Transformers 4.37.2
- Pytorch 1.14.0a0+44dac51
- Datasets 2.17.1
- Tokenizers 0.15.2
|